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/** * src/ai-providers/anthropic.js * * Implementation for interacting with Anthropic models (e.g., Claude) * using the Vercel AI SDK. */ import { createAnthropic } from '@ai-sdk/anthropic'; import { BaseAIProvider } from './base-provider.js'; // TODO: Implement standardized functions for generateText, streamText, generateObject // --- Client Instantiation --- // Note: API key resolution should ideally happen closer to the call site // using the config manager/resolver which checks process.env and session.env. // This is a placeholder for basic functionality. // Remove the global variable and caching logic // let anthropicClient; export class AnthropicAIProvider extends BaseAIProvider { constructor() { super(); this.name = 'Anthropic'; } /** * Returns the environment variable name required for this provider's API key. * @returns {string} The environment variable name for the Anthropic API key */ getRequiredApiKeyName() { return 'ANTHROPIC_API_KEY'; } /** * Creates and returns an Anthropic client instance. * @param {object} params - Parameters for client initialization * @param {string} params.apiKey - Anthropic API key * @param {string} [params.baseURL] - Optional custom API endpoint * @returns {Function} Anthropic client function * @throws {Error} If initialization fails */ getClient(params) { try { const { apiKey, baseURL } = params; const fetchImpl = this.createProxyFetch(); return createAnthropic({ apiKey, ...(baseURL && { baseURL }), headers: { 'anthropic-beta': 'output-128k-2025-02-19' }, ...(fetchImpl && { fetch: fetchImpl }) }); } catch (error) { this.handleError('client initialization', error); } } } // TODO: Implement streamAnthropicObject if needed and supported well by the SDK for Anthropic. // The basic structure would be similar to generateAnthropicObject but using streamObject.